This course will introduce students to current research trends in an area of computational mathematics. Topics covered each year will vary but will cover one or more of those listed below, or even new emerging topics:
- Data mining algorithms
- Multiscale and multilevel techniques
- The numerical solution of PDEs
- Optimisation, approximation in particular of high-dimensional functions
- Algorithms for the solution of linear systems of equations including iterative methods.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Explain the fundamental concepts of a topic in computational mathematics and its role in modern mathematics and applied contexts.
- Demonstrate accurate and efficient use of specific computational mathematics techniques.
- Demonstrate capacity for mathematical reasoning through analysing, proving and explaining concepts from computational mathematics.
- Conduct some (limited) independent research under expert supervision.
Indicative Assessment
- Three assignments (45) [LO 1,2,3,4]
- Final examination (55) [LO 1,2,3]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
The expected workload will consist of approximately 130 hours throughout the semester including:
• Face-to face component which may consist of 12 x 3 lectures per semester (36 total hours) and 12 x 1 hours of tutorials/workshops/labs throughout the semester.
• Approximately 82 hours of self-directed study which will include preparation for lectures and other assessment tasks.
The exact workload distribution will vary from year to year.
Inherent Requirements
No specific inherent requirements have been identified for this course.
Requisite and Incompatibility
Prescribed Texts
There are no required texts.
Assumed Knowledge
A solid background in mathematics is expected. Typically requires MATH3320 and MATH3511 and/or MATH3512, but consultation with course coordinators is essential.
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2024 | $4980 |
- International fee paying students
| Year | Fee |
|---|---|
| 2024 | $6360 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 3732 | 19 Feb 2024 | 26 Feb 2024 | 05 Apr 2024 | 24 May 2024 | In Person | View |
